Would you like to join a global, growing company that innovates for a more sustainable tomorrow? UPM could be the team for you. We are frontrunners in developing renewable alternatives to fossil-based materials. Besides enabling both businesses and consumers make more sustainable choices, we strive to create a positive UPM experience for all our employees around the world. We live by our values – trust and be trusted, achieve together, renew with courage. Join us in creating a future beyond fossils!We are now looking for a Finance Analytics Engineer to join our Customer to Cash, Business Intelligence & Analytics team in UPM Business HUB Wrocław, Poland.Greetings from your future manager“We're thrilled to announce an exciting opportunity to join our dynamic analytics team as an Analytics Engineer with experience in Snowflake and Python. As a crucial member of our team, you'll play a key role in transforming data into actionable insights, driving strategic decisions, and enhancing our overall business performance utilizing Snowflake's powerful data warehousing capabilities and Python's versatile programming functionalities. If you're passionate about leveraging data to drive innovation and want to grow in a collaborative environment, we'd love to hear from you!” – Grzegorz, Senior Manager, Business Intelligence & Analytics, Customer to CashWhat you will doDevelop and maintain financial data models, algorithms, and analytical tools to support strategic decision-making and financial planning processes (SAP and Salesforce as main data source)Design and implement data pipelines, ETL processes, and data integration solutions to extract, transform, and load data from various sources into our analytics platform (DBT, Snowflake, Azure Machine learning, Microsoft Power Platform as main data platforms)Collaborate with finance and business stakeholders to understand operational teams requirements, develop dashboards and reports to track process efficiency performance and metrics (Accounts Receivable, Credit Risk, Bad Debt Management, Billing and Customer Care teams in scope of core operations)Perform trend analysis, variance analysis, and root cause analysis to identify key drivers of customer payment behavior and areas for improvementWork closely with our IT, Solution Architects and Information Architects to design and maintain data analytics architectureStay current with industry trends and best practices in finance analytics and data engineeringWho you areYou have a University degree in Economics, Mathematics, Computer Science, Engineering or a related fieldYou have minimum 5 years of experience in finance analytics, financial modeling, or data engineering rolesYou present strong proficiency in SQL and experience with relational databases (e.g., PostgreSQL, MySQL, DAX) for data analysis and manipulationWork experience with Microsoft Power Automate, Microsoft Power Apps, Microsoft Azure Machine Learning platform is considered an assetYou are familiar with programming languages such as Python, R, or Java for data manipulation and automationYou have experience with data visualization tools (e.g., Tableau, Power BI) and dashboard developmentYou demonstrate excellent analytical skills and attention to detail with the ability to translate complex financial concepts into actionable insightsYou are skilled in communication in fluent English and collaboration with the ability to work effectively in a cross-functional team environmentThis is what we offer for youA meaningful job – We have an inspiring purpose ‘We create a future beyond fossils. Our work is impactful and transformativeA caring community – Our community is built on great team spirit and shared commitment. We care about each other and the well-being of our colleagues. We support the work-life balance of all our employeesDevelopment opportunities – We offer you great opportunities to learn and grow throughout your career. We are an international, multi-business organization offering plenty of avenues for personal growthResponsible employer - Sustainability is at the core of everything we do. We are committed to ambitious, science-based sustainability targets in all areas from climate change to biodiversity. We foster diversity and inclusivity, offering a work environment in which everyone can be themselvesLearn about our and ourAdditional informationThe position is located in UPM Business HUB Wrocław, Poland.The position holder will report to Senior Manager, Business Intelligence & Analytics, Customer to Cash.The recruitment process will consist of three rounds: 1) analytical assignment in PowerBi sent via email, 2) telephone conversation with the hiring manager, 3) interview at the office, including 2-hours-long SQL test.Only selected candidates will be invited to the next stages of the recruitment process.Please apply via the link above and attach your CV in English latest by 15.05.2024 We review applications already during the application period, and you may be contacted already before the application deadline.For support with submitting your application, please contact HR Service Center at careers@upm.com or tel. +48 12 399 94 99UPM is a global forest industry leader with headquarters in Finland. We create renewable and responsible wood-based alternatives for fossil-based materials utilizing our expertise in engineering, innovation and digitalization. In Poland, UPM is running two factories near Wrocław, a Human Resources Service Center in Kraków and UPM Business Hub at the heart of the city of Wrocław. At the moment, the Wrocław Hub brings together over 500 professionals in customer, supplier and financial services.What makes us unique? The Finnish leadership culture encourages people in personal growth and self-development, and our values - trust and be trusted, achieve together, renew with courage – are visible in our everyday work. We are inspired by the limitless opportunities of the bioeconomy and we lead the way towards a future beyond fossils. Got interested? Join us on this exciting path! #growthwithUPMIf you wish to get more insight about who we are, check out this !#LI-POST#LI-HYBRID
